Jin Gao

2.2k total citations
55 papers, 1.5k citations indexed

About

Jin Gao is a scholar working on Epidemiology, Molecular Biology and Immunology. According to data from OpenAlex, Jin Gao has authored 55 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Epidemiology, 15 papers in Molecular Biology and 14 papers in Immunology. Recurrent topics in Jin Gao's work include Influenza Virus Research Studies (32 papers), Respiratory viral infections research (29 papers) and Monoclonal and Polyclonal Antibodies Research (8 papers). Jin Gao is often cited by papers focused on Influenza Virus Research Studies (32 papers), Respiratory viral infections research (29 papers) and Monoclonal and Polyclonal Antibodies Research (8 papers). Jin Gao collaborates with scholars based in United States, China and United Kingdom. Jin Gao's co-authors include Maryna C. Eichelberger, Laura Couzens, Matthew R. Sandbulte, Ron A. M. Fouchier, Kim B. Westgeest, Hongquan Wan, Timothy M. Straight, Jeffery K. Taubenberger, Vladimir Y. Lugovtsev and Xiyan Xu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Angewandte Chemie International Edition.

In The Last Decade

Jin Gao

51 papers receiving 1.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jin Gao United States 21 1.1k 424 362 260 225 55 1.5k
Goran Bajic United States 17 377 0.3× 641 1.5× 327 0.9× 216 0.8× 221 1.0× 30 1.3k
Peter R. Wilker United States 13 303 0.3× 535 1.3× 300 0.8× 172 0.7× 29 0.1× 16 1.3k
Bertrand Bellier France 21 338 0.3× 631 1.5× 322 0.9× 170 0.7× 82 0.4× 47 1.4k
Jean‐Philippe Herbeuval France 23 382 0.3× 1.5k 3.6× 390 1.1× 307 1.2× 33 0.1× 55 2.3k
Laura Solforosi Italy 25 646 0.6× 112 0.3× 924 2.6× 211 0.8× 309 1.4× 54 1.8k
Tariq Ahmad Najar United States 8 284 0.3× 302 0.7× 289 0.8× 116 0.4× 74 0.3× 11 742
Nadine van Montfoort Netherlands 21 210 0.2× 834 2.0× 375 1.0× 196 0.8× 153 0.7× 34 1.5k
Adriana Baz Morelli Australia 18 161 0.1× 536 1.3× 302 0.8× 149 0.6× 75 0.3× 31 1.0k
Mieszko M. Wilk Ireland 21 492 0.4× 465 1.1× 219 0.6× 212 0.8× 61 0.3× 26 1.2k
Olga Kalinina Russia 17 454 0.4× 110 0.3× 291 0.8× 291 1.1× 68 0.3× 63 1.2k

Countries citing papers authored by Jin Gao

Since Specialization
Citations

This map shows the geographic impact of Jin Gao's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jin Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Gao more than expected).

Fields of papers citing papers by Jin Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jin Gao. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jin Gao. The network helps show where Jin Gao may publish in the future.

Co-authorship network of co-authors of Jin Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Jin Gao. A scholar is included among the top collaborators of Jin Gao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jin Gao. Jin Gao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ning, Wanshan, et al.. (2024). Blockchain-Based Federated Learning: A Survey and New Perspectives. Applied Sciences. 14(20). 9459–9459. 13 indexed citations
2.
Yuan, Yue, Hai Yu, Hyeog Kang, et al.. (2024). Synthetic Sialosides Terminated with 8‐N‐Substituted Sialic Acid as Selective Substrates for Sialidases from Bacteria and Influenza Viruses. Angewandte Chemie International Edition. 63(29). e202403133–e202403133. 2 indexed citations
3.
4.
5.
Zhang, Huayu, et al.. (2023). Design Strategy of Vehicle HMI VR Prototyping Tool Based on Kano Model. AHFE international. 77.
6.
Jiang, Wei, Jing Liang, Wei Sun, et al.. (2023). Effectiveness and safety of Endostar combined with chemotherapy in treating advanced NSCLC patients with different ages. SHILAP Revista de lepidopterología. 4(1). 41–47. 1 indexed citations
7.
Klenow, Laura, Jin Gao, Hongquan Wan, et al.. (2023). Influenza virus and pneumococcal neuraminidases enhance catalysis by similar yet distinct sialic acid–binding strategies. Journal of Biological Chemistry. 299(2). 102891–102891. 13 indexed citations
8.
Zhang, Tiesong, Xiaomei Liu, Jin Gao, et al.. (2022). Oxygen Saturation Ranges for Healthy Newborns within 2 h at Altitudes between 847 and 4,360 m: A Prospective Cohort Study. Neonatology. 120(1). 111–117. 1 indexed citations
9.
Ma, Li, Jin Gao, Niu Zhang, et al.. (2022). Long noncoding RNA SNHG17: a novel molecule in human cancers. Cancer Cell International. 22(1). 104–104. 17 indexed citations
10.
Jiang, Wei, Wei Sun, Wenhui Li, et al.. (2022). Real-world treatment pattern and comprehensive comparative effectiveness of Endostar plus different chemotherapy in advanced patients with non-small cell lung cancer. Scientific Reports. 12(1). 10841–10841. 5 indexed citations
11.
Zheng, Wenjing, et al.. (2022). Sensory stimulation program improves developments of preterm infants in Southwest China: A randomized controlled trial. Frontiers in Psychology. 13. 867529–867529. 4 indexed citations
12.
Khurana, Surender, Elizabeth M. Coyle, Jody Manischewitz, et al.. (2018). AS03-adjuvanted H5N1 vaccine promotes antibody diversity and affinity maturation, NAI titers, cross-clade H5N1 neutralization, but not H1N1 cross-subtype neutralization. npj Vaccines. 3(1). 46 indexed citations
13.
Gao, Jin, Laura Couzens, & Maryna C. Eichelberger. (2016). Measuring Influenza Neuraminidase Inhibition Antibody Titers by Enzyme-linked Lectin Assay. Journal of Visualized Experiments. 39 indexed citations
14.
Wan, Hongquan, Hua Yang, D.A. Shore, et al.. (2015). Structural characterization of a protective epitope spanning A(H1N1)pdm09 influenza virus neuraminidase monomers. Nature Communications. 6(1). 6114–6114. 78 indexed citations
15.
Su, Pixiong, Shanshan Gu, Yan Liu, & Jin Gao. (2013). Partial sternotomy coronary surgery with triple-vessel disease in dextrocardia and situs inversus totalis. Interactive Cardiovascular and Thoracic Surgery. 17(1). 213–215. 1 indexed citations
16.
Bowen, Larry E., et al.. (2013). Comparison of the effectiveness of antibody and cell-mediated immunity against inhaled and instilled influenza virus challenge. Virology Journal. 10(1). 198–198. 2 indexed citations
17.
Easterbrook, Judith D., Louis M. Schwartzman, Jin Gao, et al.. (2012). Protection against a lethal H5N1 influenza challenge by intranasal immunization with virus-like particles containing 2009 pandemic H1N1 neuraminidase in mice. Virology. 432(1). 39–44. 86 indexed citations
18.
Easterbrook, Judith D., John C. Kash, Zong‐Mei Sheng, et al.. (2011). Immunization with 1976 swine H1N1- or 2009 pandemic H1N1-inactivated vaccines protects mice from a lethal 1918 influenza infection. Influenza and Other Respiratory Viruses. 5(3). 198–205. 21 indexed citations
19.
Althoff, Keri N., Maryna C. Eichelberger, Stephen J. Gange, et al.. (2011). Seroincidence of 2009 H1N1 infection in HIV-infected and HIV-uninfected women prior to vaccine availability. AIDS. 25(9). 1229–1232. 3 indexed citations
20.
Sandbulte, Matthew R., Jin Gao, Timothy M. Straight, & Maryna C. Eichelberger. (2009). A miniaturized assay for influenza neuraminidase‐inhibiting antibodies utilizing reverse genetics‐derived antigens. Influenza and Other Respiratory Viruses. 3(5). 233–240. 74 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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